SUMMARY
The expectation of the product of three standard Brownian motions, denoted as E[Bt1.Bt2.Bt3], can be evaluated using properties of independence and the definition of Brownian motion. If Bt1, Bt2, and Bt3 are independent and refer to non-overlapping intervals, the expectation can be simplified to E[Bt1]E[Bt2]E[Bt3]. Given that each Brownian motion has a mean of zero, the result is E[Bt1.Bt2.Bt3] = 0. If the intervals overlap, the analysis requires decomposition into non-overlapping processes.
PREREQUISITES
- Understanding of standard Brownian motion properties
- Knowledge of expectation and independence in probability theory
- Familiarity with stochastic processes
- Basic skills in mathematical decomposition techniques
NEXT STEPS
- Study the properties of Brownian motion in detail
- Learn about the independence of stochastic processes
- Explore the concept of expectation in probability theory
- Investigate decomposition methods for overlapping stochastic processes
USEFUL FOR
Mathematicians, statisticians, and researchers in finance or physics who are analyzing stochastic processes and their properties.